Commit graph

6 commits

Author SHA1 Message Date
Bugra Akyildiz
27c7158166 Remove __future__ imports for legacy Python2 supports (#45033)
Summary:
There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports:

```2to3 -f future -w caffe2```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033

Reviewed By: seemethere

Differential Revision: D23808648

Pulled By: bugra

fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
2020-09-23 17:57:02 -07:00
Nikita Shulga
fd9205e14b Enable caffe2 tests for RocM jobs (#41604)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/41604

Reviewed By: ezyang

Differential Revision: D22603703

Pulled By: malfet

fbshipit-source-id: 789ccf2bb79668a5a68006bb877b2d88fb569809
2020-07-28 14:21:42 -07:00
Gu, Jinghui
575aebc182 implement operators for DNNLOWP (#18656)
Summary:
Implement operators for DNNLOWP, including int8_conv, int8_FC, int8_pooling, int8_relu, int8_sum, quantize/dequantize, and order_swtich operators.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18656

Differential Revision: D14767092

Pulled By: yinghai

fbshipit-source-id: 1f3e24929a358a42214da333bd304c593ea4468f
2019-04-10 12:04:39 -07:00
Gu, Jinghui
887080e92a Fallback sum/add to CPU if needed (#15267)
Summary:
Fallback sum/add to CPU if needed
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15267

Differential Revision: D13935064

Pulled By: yinghai

fbshipit-source-id: eb228683d00a0462a1970f849d35365bc98340d6
2019-02-06 09:35:14 -08:00
Gu, Jinghui
dbab9b73b6 seperate mkl, mklml, and mkldnn (#12170)
Summary:
1. Remove avx2 support in mkldnn
2. Seperate mkl, mklml, and mkldnn
3. Fix convfusion test case
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12170

Reviewed By: yinghai

Differential Revision: D10207126

Pulled By: orionr

fbshipit-source-id: 1e62eb47943f426a89d57e2d2606439f2b04fd51
2018-10-29 10:52:55 -07:00
Jinghui
26ddefbda1 [feature request] [Caffe2] Enable MKLDNN support for inference (#6699)
* Add operators based-on IDEEP interfaces

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Enable IDEEP as a caffe2 device

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Add test cases for IDEEP ops

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Add IDEEP as a caffe2 submodule

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Skip test cases if no IDEEP support

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Correct cmake options for IDEEP

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Add dependences on ideep libraries

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Fix issues in IDEEP conv ops and etc.

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Move ideep from caffe2/ideep to caffe2/contrib/ideep

Signed-off-by: Gu Jinghui <jinghui.gu@intel.com>

* Update IDEEP to fix cmake issue

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Fix cmake issue caused by USE_MKL option

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>

* Correct comments in MKL cmake file

Signed-off-by: Gu, Jinghui <jinghui.gu@intel.com>
2018-04-22 21:58:14 -07:00